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YIELD AND FRUIT QUALITY OF ALMOND,PEACH AND PLUM UNDER REGULATED DEFICIT IRRIGATION

Frontiers of Agricultural Science and Engineering 2021年第4期8卷 583-593页

作者： Rachid RAZOUK Abdellah KAJJIAnas HAMDANI Jamal CHARAFI lahcen hssaini Said BOUDA National Agricultural Research Institute MeknesBP 578Morocco Laboratory of Biotechnology and Valorization of Plant Genetic Resources Faculty of Sciences and TechniquesUniversity of Sultan Moulay SlimaneBeni MellalBP 523Morocco

The effects of regulated deficit irrigation(RDI)on the performance of almond ***,peach ***-Hall and plum *** were assessed on the Saiss Plain(NW,Morocco)over three consecutive growing seasons(2011–2013).Irrigation treatments consisted of a control,irrigation applied to fully satisfy crop water requirements(100%ETC),and two RDI treatments,irrigation applied to 75%ETC(RDI-75)and 50%ETC(RDI-50).These three treatments were applied during fruitgrowth slowdown periods corresponding to Stages II and III in almond and Stage II in peach and *** and fruit quality traits were *** effect of RDI differed between *** and fruit size were reduced significantly only in peach under *** quality improved in this species in the first year of the experiment,with an increase of sugar/acid ratio and polyphenol *** quality also improved but the effects were significant only in the second and third *** results were recorded in almond kernel,but their epidermal grooves were deeper under RDI-50,and this may have affected their commercial *** is concluded that water can be saved during the fruitgrowth slowdown period by up to 25%in peach and 50%in almond and plum with improvements in fruit quality without affecting total yield.

关键词： fruit quality fruit yield Prunus domestica Prunus dulcis Prunus persica regulated deficit irrigation

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ATR–FTIR Spectroscopy Combined with the Invitro Antioxidant Activity and Chromaticity for Rapid Discrimination of Fig(Ficus carica L.)Cultivars

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Journal of Analysis and Testing 2021年第3期5卷 270-285页

作者： lahcen hssaini Rachida Ouaabou Rachid Razouk Jamal Charafi Hafi da Hanine Karim Houmanat Said Ennahli Rachid Lahlali National Institute for Agricultural Research(INRA) BO578MeknesMorocco Faculty of Science Semlalia Cadi Ayyad UniversityBO 2390MarrakeshMorocco Laboratory of Bioprocess and Bio-Interfaces Faculty of Science and TechnicsBO 523Beni-MellalMorocco National School of Agriculture(ENA) BO S/40MeknesMorocco

Vibrational spectroscopy analysis of full-ripened fig fruits(Ficus carica L.)was acquired using Fourier-transformed infrared(FTIR)spectroscopy by attenuated total reflectance(ATR).The objective of this study was to investigate accurate discrimination of 25 fig cultivars using chemometric analysis of both ATR-FTIR fingerprinting and in-vitro antioxidant activity along with chromatic coordinates ***-vitro antioxidant activity was assessed through three methods and displayed statistically significant differences across cultivars and between the fruit parts,with promising antioxidant *** spectra were measured separately on both peels and pulp to better know which fruit part provides high discrimination throughput between *** results showed vibration intensities of five fingerprint regions displaying statically significant *** highest vibration intensity occurred in the region of 1175-940 cm^(-1)including the phenols *** components analysis based on integrated intensities corresponding to fingerprint regions,revealed two main groups in pulp samples,while five groups in peels *** pulp extracts of’Nabout’showed a typical vibration in 3000-2800 cm^(-1)and 1775-1725 cm^(-1)regions and,therefore was classified as single subset in cultivars *** cultivar had a lightcolored fig and exhibited the highest antioxidant potency for all essays particularly in peel *** biochemical assessment and FTIR fingerprinting data were involved in PCA analysis,and that displayed some dissimilarities in the classification patterns,given the fact that antioxidant activities and chromaticity together could not totally explain the classification based on FTIR fingerprinting between peel and *** of FTIR-ATR spectroscopy to discriminate fig cultivars seems to be a rapid,accurate and cost-effective alternative to laborious measurement techniques,in fig quality screening and preselection,such as chromatog

关键词： Chemometrics FTIR-ATR Ficus carica L. Half maximal inhibitory concentration Multivariate analysis

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Do model choice and sample ratios separately or simultaneously influence soil organic matter prediction?

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International Soil and Water Conservation Research 2022年第3期10卷 470-486页

作者： Kingsley John Yassine Bouslihim Kokei Ikpi Ofem lahcen hssaini Rachid Razouk Paul Bassey Okon Isong Abraham Isong Prince Chapman Agyeman Ndiye Michael Kebonye Chengzhi Qin Department of Soil Science and Soil Protection Faculty of AgrobiologyFoodand Natural ResourcesCzech University of Life SciencesKamýcka 12916500PragueCzech Republic National Institute of Agricultural Research Morocco Department of Soil Science Faculty of AgricultureForestry and Wildlife Resources ManagementUniversity of CalabarPMB 1115540004Etta Agbo RoadCalabarNigeria State Key Laboratory of Resources and Environmental Information System Institute of Geographical Sciences and Natural Resources ResearchCASBeijing100101China

This study was performed to examine the separate and simultaneous influence of predictive models’choice alongside sample ratios selection in soil organic matter(SOM).The research was carried out in northern Morocco,characterized by relatively cold weather and diverse geological *** dataset herein used accounted for 1591 soil samples,which were randomly split into the following ratios:10%(∼150 sample ratio),20%(∼250 sample ratio),35%(∼450 sample ratio),50%(∼600 sample ratio)and 95%(∼1200 sample ratio).Models herein involved were ordinary kriging(OK),regression kriging(RK),multiple linear regression(MLR),random forest(RF),quantile regression forest(QRF),Gaussian process regression(GPR)and an ensemble *** findings in the study showed that the accuracy of SOM prediction is sensitive to both predictive models and sample *** combined with 95%sample ratio performed equally to RF in conjunction with all the sample ratios,as the latter did not show much sensitivity to sample *** results revealed that RF with a∼10%sample ratio could also be optimum for predicting SOM in the study *** conclusion,the findings herein reported could be instrumental for producing cost-effective detailed and accurate spatial estimation of SOM in other ***,they could serve as a baseline study for future research in the region or ***,we recommend conducting series of simulation of all possible combinations between various predictive models and sample ratios as a preliminary step in soil organic matter prediction.

关键词： Analysis of variance Agriculture Digital soil mapping Predictive mapping Mediterranean

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Mapping soil nutrients via different covariates combinations:theory and an example from Morocco

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Ecological Processes 2022年第1期11卷 302-318页

作者： Kingsley John Yassine Bouslihim Isong Abraham Isong lahcen hssaini Rachid Razouk Ndiye M.Kebonye Prince C.Agyeman Vit Penížek Tereza Zádorová Department of Soil Science and Soil Protection Faculty of AgrobiologyFoodand Natural ResourcesCzech University of Life SciencesKamýcká12916500 PragueCzech Republic National Institute of Agricultural Research RabatMorocco Department of Soil Science University of CalabarCalabarNigeria

Background:Mapping of soil nutrients using different covariates was carried out in northern *** study was undertaken in response to the region’s urgent requirement for an updated soil *** aimed to test various covariates combinations for predicting the variability in soil properties using ordinary kriging and kriging with external ***:A total of 1819 soil samples were collected at a depth of 0–40 cm using the 1-km grid sampling *** were screened for their pH,soil organic matter(SOM),potassium(K_(2)O),and phosphorus(P_(2)O_(5))using standard laboratory *** attributes(T)computed using a 30-m resolution digital elevation model,bioclimatic data(C),and vegetation indices(V)were used as covariates in the *** targeted soil property was modeled using covariates separately and then combined(e.g.,pH~T,pH~C,pH~V,and pH~T+C+V).k=tenfold cross-validation was applied to examine the performance of each employed *** statistical parameter RMSE was used to determine the accuracy of different ***:The pH of the area is slightly above the neutral level with a corresponding 7.82%of SOM,290.34 ppm of K_(2)O,and 100.86 ppm of P_(2)O_(5).This was used for all the selected targeted soil *** a result,the studied soil properties showed a linear relationship with the selected ***,SOM,and K 2O presented a moderate spatial autocorrelation,while P2O5 revealed a strong *** cross-validation result revealed that soil pH(RMSE=0.281)and SOM(RMSE=9.505%)were best predicted by climatic variables.P_(2)O_(5)(RMSE=106.511 ppm)produced the best maps with climate,while K_(2)O(RMSE=209.764 ppm)yielded the best map with terrain ***:The findings suggest that a combination of too many environmental covariates might not provide the actual variability of a targeted soil *** demonstrates that specific covariates with close relationships with certain soil properties might perform bet

关键词： Soil mapping Environmental variables Agriculture Soil properties Soil management

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